AIMC Topic: Pandemics
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The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.
Molecular biomedicine
Jan 3, 2025
Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates the multidimensional role of AI in the pandemic, which arises as a global health crisis, and i...
Stress Monitoring in Pandemic Screening: Insights from GSR Sensor and Machine Learning Analysis.
Biosensors
Jan 2, 2025
This study investigates the impact of patient stress on COVID-19 screening. An attempt was made to measure the level of anxiety of individuals undertaking rapid tests for SARS-CoV-2. To this end, a galvanic skin response (GSR) sensor that was connect...
Exploring happiness factors with explainable ensemble learning in a global pandemic.
PloS one
Jan 2, 2025
Happiness is a state of contentment, joy, and fulfillment, arising from relationships, accomplishments, and inner peace, leading to well-being and positivity. The greatest happiness principle posits that morality is determined by pleasure, aiming for...
Machine learning mathematical models for incidence estimation during pandemics.
PLoS computational biology
Dec 23, 2024
Accurate estimates of the incidence of infectious diseases are key for the control of epidemics. However, healthcare systems are often unable to test the population exhaustively, especially when asymptomatic and paucisymptomatic cases are widespread;...
Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.
PloS one
Dec 19, 2024
Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, and attitudes beyond traditional educational settings. These platforms provide access to...
Comparative study of DCNN and image processing based classification of chest X-rays for identification of COVID-19 patients using fine-tuning.
Journal of medical engineering & technology
Dec 9, 2024
The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experiences high inter-observer variability and uncertainty issues. This work proposes the automatic detection and classification of COVID-19 by analysing the ...
Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study.
Computers in biology and medicine
Dec 3, 2024
The COVID-19 pandemic has emerged as a global health crisis, impacting millions worldwide. Although chest computed tomography (CT) scan images are pivotal in diagnosing COVID-19, their manual interpretation by radiologists is time-consuming and poten...
Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians?
Journal of medical Internet research
Dec 3, 2024
The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of...
Integrating graph and reinforcement learning for vaccination strategies in complex networks.
Scientific reports
Dec 2, 2024
Pandemics like COVID-19 have a huge impact on human society and the global economy. Vaccines are effective in the fight against these pandemics but often in limited supplies, particularly in the early stages. Thus, it is imperative to distribute such...
Machine learning analysis of the effects of COVID-19 on migration patterns.
Scientific reports
Nov 30, 2024
This study investigates the impact of the COVID-19 pandemic on European tourist mobility patterns from 2019 to 2021 by conceptualizing countries as monomers emitting radiation to model and analyze their patterns through the lens of socio-economics an...
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